Master of Science (M.S.) in Intelligent Supply Chain and Logistics Analytics
College: The Goodwin College of Business and Liberal Arts
Department: Accounting, Finance, Economics and Analytics
Degree: Master of Science (M.S.)
Campus: Lisle Campus
Overview
The Master of Science Program in Intelligent Supply Chain and Logistics Analytics (M.S. in Intelligent Supply Chain and Logistics Analytics) at Benedictine University leverages our decades-long expertise in preparing professionals for rapid advances in technology, intense global competition, and more complex supply chain and logistics environments.
Our curriculum covers the major areas of intelligent supply chain and logistics analytics: supply chain strategy and operations, logistics and transportation systems, databases and data warehouses, predictive and prescriptive analytics, as well as organizational considerations.
Specifically, our program focuses on the skills, technologies, applications, and practices for iterative exploration and investigation of supply chain and logistics performance to gain insight and support data-driven operational and strategic decision-making. It makes extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management to drive decision-making. Organizations increasingly treat supply chain and logistics data as a strategic asset and leverage it for competitive advantage.
Examples of intelligent supply chain and logistics analytics uses include:
• Forecasting demand and other operational outcomes using predictive analytics methods
• Optimizing managerial decisions related to operations, supply chains, and resource allocation
• Using data and information systems to support effective operations and business intelligence
• Evaluating supply chain decisions in a global business environment
The graduate program in intelligent supply chain and logistics analytics is appropriate for students in functional business units such as operations, supply chain management, logistics, as well as information technology because it leverages information technology and business thinking to turn data into actionable intelligence. The program is designed for students who have an interest in quantitative methods, exploring and uncovering relationships through data analysis, using data to solve supply chain and logistics problems, and who want to enter or advance in a career in supply chain analytics, logistics analytics, or operations management.
Our program’s commitment to individual development is the basis for the professional achievements of its graduates. This approach gives students a unique opportunity to interact with graduate students in all our graduate business and management programs. Exposure to other students with different talents, experiences, and job responsibilities is a key element in each student’s development of analytical and supply chain decision-making skills.
The educational approach of the program emphasizes practical application of technical tools and management theories to a variety of hypothetical and real-life supply chain and logistics data problems. Students gain an appreciation for the complexity of challenges associated with modern supply chains and logistics systems through group interaction, comprehensive projects, case analysis, research, and active participation in the sharing of individual experiences. This variety of teaching methods prepares students to be leaders in the 21st century.
Our graduate intelligent supply chain and logistics analytics program is a STEM-designated program, with CIP code 52.0203 for Logistics, Materials, and Supply Chain Management.
Learning Goals for the M.S. in Intelligent Supply Chain and Logistics Analytics Program
Students will be expected to:
- Demonstrate quantitative and qualitative skills in analyzing supply chain, logistics, and operational business problems.
- Apply information technologies and analytical methods to extract value from supply chain and logistics data.
- Communicate results of analysis in supply chain and logistics contexts in written, oral, and visual ways to a variety of audiences: technical and non-technical.
- Demonstrate leadership and ethical decision-making in supply chain and logistics contexts.
Requirements
Application for graduate admission.
- Official transcripts from all universities/colleges attended. Official electronic transcripts can be emailed to e-transcripts@ben.edu.
- A one- to two-page essay addressing educational and career goals.
- Current résumé listing chronological work history.
- Students who have completed any foreign postsecondary education (college, university, etc.) are required to submit an official credit evaluation. Students may request a report from any of the following evaluation companies, or any credential evaluation service that is a member of the National Association of Credential Evaluation Services (NACES): Educational Credential Evaluators (EP), Educational Perspectives (EP) or Slate Education Foundation (SEF). In addition, SEF will assist with credential authentication and degree equivalency using appropriate resources of World Education Service (WES) for admission into Benedictine University’s graduate programs by computing calculations such as GPA conversions and credit hours. Students completing the SEF evaluation seeking proficiency credit for foundation courses may be awarded based on prior coursework, must supply Benedictine with the appropriate course syllabi. Transcript evaluations shall be performed by trained foreign credential evaluators at SEF. Students must request a course-by-course evaluation including a U.S equivalent cumulative GPA. Official reports are mailed or electronically sent directly to Benedictine Admissions (admissions@ben.edu) from a NACES member organization. Please contact the Enrollment Center (enrollmentprocessing@ben.edu) for more information.
The Master of Science in Intelligent Supply Chain and Logistics Analytics requires 27 semester credit hours of Core coursework, six semester credit hours of Elective coursework, as well as three semester credit hours of Foundation coursework.
| Code | Title | Hours |
|---|---|---|
| Foundation Courses (3 semester credit hours) | 3 | |
| Core Courses (27 semester credit hours) | ||
| MNGT 6206 | The Global Environment | 3 |
| MNGT 6340 | Logistics and Transportation Analytics | 3 |
| MNGT 6501 | Operations Management | 3 |
| MNGT 6632 | Supply Chain Management and Analytics | 3 |
| MNGT 6701 | Business Intelligence | 3 |
| BALT 6102 | Business Analytics I: Predictive Analytics | 3 |
| BALT 6301 | Data-Driven Learning for Business | 3 |
| BALT 6890 | Supply Chain and Logistics Analytics Practicum I | 3 |
| BALT 6891 | Supply Chain and Logistics Analytics Practicum II | 3 |
| Elective Courses (6 semester credit hours ) choose from the following courses: | 6 | |
| Programming for Analytics | ||
| Business Analytics II: Prescriptive Analytics | ||
| Data Management for Business | ||
| Organizational Behavior: Theory and Contemporary Practice | ||
| Leadership and Ethics in a Global Environment | ||
| Project Management | ||
| Total Hours | 36 | |
- 1
Proficiency credit for foundation courses may be awarded if equivalent undergraduate coursework has been completed.
BALT 5101 Analytical Tools for Management Decisions. The goal for this course is to prepare students to be more effective users of quantitative information, as well as to avoid the many potential pitfalls from the misuse of statistical methods. The emphasis is on understanding what a previously obtained data set implies and, if appropriate, to develop meaningful forecasts with a reasonable sense of confidence. Specific topics include data analysis and statistical description, sampling and statistical inference, time series, and regression analysis. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Fall, Spring, and Summer Terms)
MESA (Typically Offered: Fall, Spring, and Summer Terms)
MESA (Typically Offered: Fall, Spring, and Summer Terms)
BALT 5201 Programming for Analytics. The goal for this course is to introduce students, without prior programming experience, to essential programming concepts and techniques needed for analytics. The goal is to equip students with the necessary programming skills to be successful in other courses in the business analytics program. Examples are drawn from the problems often encountered in data analysis. Programming languages may include SAS, R, and Python. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
MESA (Typically Offered: Annually)
MESA (Typically Offered: Annually)
BALT 5251 Programming for Information Systems. Through the study of this course, students can understand the basic principles, new technologies and development trends of computer, master the use of common operating systems and application software skills, improve the application of network, multimedia and other technologies, understand the basic knowledge of information security and program design, and cultivate innovative consciousness and ability through practice. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 5351 Computer Organization and Architecture. This course takes digital circuit and logic design (basic part), computer composition (main part), computer architecture (advanced part) as the main line, focusing on the complete composition of computer systems and feasible ways to improve performance. Through the study of this course, students can systematically understand the basic principles of computer composition and internal operating mechanism, master the basic concepts and basic working principles of computer systems, and understand the hardware structure, interaction, and function of each main component. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 5451 Business Data Analysis. The purpose of this course is to have students master the basic concepts, related technologies of Business Data Analysis and its application status, application prospects and research directions in different data processing, and different rules extraction. After studying this course, students should understand and explain the following: 1) Data retrieval and preprocessing for business decision-making; 2) Understand data analysis and mining methods including Association Rules Mining, Classification and Prediction, and Cluster Analysis; and 3) Use popular data mining software to implement data analysis tasks. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6102 Business Analytics I: Predictive Analytics. Business analytics refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. It makes extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling and fact-based management to drive decision making. Analytics may be used as input for human decisions or may drive fully automated decisions. Deliverables may include article reviews, case analyses, software-based exercises, projects, and presentations. Cross-listed as MSBA 6659. Prerequisite: BALT 5101. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6103 Business Analytics II: Prescriptive Analytics. This course introduces the topics of optimization techniques for management decisions. Optimization is the process of discovering the best business solution from many feasible solutions using mathematical and statistical methods. The increasing complexity of today’s business decision-making has resulted in the development of many optimization techniques. These techniques have provided a wealth of solutions to facilitate business planning and execution. Optimization combines data transformation, mathematical model building, and optimization software with analytical tools to present the recommended solutions to planners and decision makers. Deliverables may include article reviews, case analyses, software-based exercises, projects, and presentations. Cross-listed as MSBA 6641. Prerequisite: BALT 6102. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6201 Data Management for Business. Database technology has evolved from simply being a better way to organize and access data to being an information systems keystone, required to effectively support the enterprise. This course introduces database technology, emphasizing effective database design. The course emphasizes effective database design, querying, and optimization techniques to ensure data integrity and accessibility. Through hands-on exercises and projects, students will gain practical experience in structuring and managing business data to support analytics-driven decision-making. By the end of the course, students will be able to design and manage data systems that enable data-driven insights across industries such as finance, healthcare, and retail. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6251 Big Data Management and Applications. The era of big data has been fully opened, and understanding the concept of big data and having big data thinking are the new requirements for talents in the new era. The course includes overview of big data, big data and cloud computing, Internet of Things and artificial intelligence, big data technology, big data application, big data security, big data thinking, big data ethics, data sharing, data opening, big data trading, and big data governance. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6261 Data Management. Database technology has evolved from simply being a better way to "organize and read data" to becoming the core technology of information systems management. Through this course, students should be able to understand and explain 1) the process required to effectively design a database, 2) how to design and implement a database program system by using relevant data management products (ACCESS, ORACLE, DB2, etc.), and 3) the basic structure of relevant data models and SQL language; 4) the composition, roles, and functions of the database environment, and the importance of data security, integrity, and recovery. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6301 Data-Driven Learning for Business. In today’s data-driven world, businesses leverage advanced analytical techniques to extract insights, predict trends, and optimize decision-making. This core course provides a comprehensive introduction to machine learning concepts and their applications in business. Students will explore key supervised and unsupervised learning techniques, including regression, classification, clustering, and decision trees, as well as modern advancements in deep learning. The course emphasizes the practical implementation of machine learning models to solve real-world business problems in areas such as marketing, finance, healthcare, and customer analytics.
Through a combination of hands-on projects, case studies, and industry applications, students will learn how to: 1. Preprocess and clean data for machine learning models, 2. Select and evaluate appropriate algorithms for different business scenarios, 3. Interpret and communicate model results to drive business strategy, and 4. Address ethical considerations and biases in machine learning applications.
By the end of the course, students will be equipped with the skills to apply data-driven learning techniques effectively, making them valuable contributors to data-centric decision-making in modern organizations.
Deliverables may include article reviews, case analyses, software-based exercises, projects, and presentations. Prerequisite: MNGT 6701. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
MESA
MESA
BALT 6401 Analytics for Big Data. This course introduces the concept of big data, that is, data sets so large that traditional relational database management systems, statistics, and visualization tools are insufficient. Organizations today are inundated with data, gathered from both inside and outside the organization. Analytics for data-at-rest and data-in-motion will be explored. The problem of solving problems which involve complex and structured data will be explored using the Hadoop platform. Deliverables may include article reviews, case analyses, software-based exercises, projects, and presentations. Cross-listed as MSBA 6686. Prerequisite: BALT 6201. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6501 Data Visualization. This course introduces data visualization, that is, communicating information clearly and effectively through graphical means. Visualization tools go beyond the typical tables, histograms, pie charts and bar graphs by displaying data in more sophisticated ways such as dials and gauges, geographic maps, time-series charts, tree maps, heat maps and detailed bar, pie and fever charts. The goal is to expose patterns that might not have been noticed otherwise. Visualized data is often displayed in business Intelligence dashboards which provide users with high-level views of corporate information and key performance indicators. Deliverables may include article reviews, case analyses, software-based exercises, projects, and presentations. Cross-listed as MSBA 6685. Prerequisite: BALT 6201. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6651 Information Systems Security. This course aims at the basic principles and technologies of network information security, security threats, and preventive measures existing in modern information systems, security architecture and models, basic cryptographic knowledge and application, basic identity authentication technology, network firewall technology, virus and hacker attack defense technology, general system security enhancement technology, the security protection technology of E-mail and Web systems, as well as new technologies and trends in information security. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6701 Business Intelligence. This course explores how data and information systems can be utilized to drive effective operations, improved decision-making and create strategic advantages in organizations. Students will review the information lifecycle components of data collection, analysis, and interpretation as well as the development of measurement systems that align with strategic goals. It includes an introduction to common analysis techniques as well as technology tools that can be utilized for both analysis and presentation. Focus will be placed on collecting and transforming quality data in order to draw appropriate conclusions. Cross-listed as MIS 6677. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6751 Internet Technology and Applications. The objective of this course is to lay a foundation for students to use the Internet in their future study and work. Through the study of this course, students will understand the main content, system composition and characteristics of Internet technology, master the characteristics and application fields of network transmission media, understand the characteristics and engineering application conditions of TCP/IP protocol, and master the basic grammar rules of HTML language. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6801 Business Analytics Capstone. This course requires students to use and integrate the disciplines and techniques learned in business analytics program coursework to address a real-world problem, strategy formulation and implementation concepts are discussed using cases and readings. Deliverables may include article reviews, case analyses, software-based exercises, a course-length project, and presentations. This course should be taken within two courses of completion or with permission of the program director. Cross-listed as MSBA 6689. 3 semester credit hour/s. Department Consent Required.
Campus: LISLE (Typically Offered: Annually)
BALT 6851 Strategic Information Technology Management. This course requires students to use all disciplines and techniques learned. Strategy formulation and implementation concepts focusing on information technology are discussed using cases and readings. This course should be taken within two courses of completion or with permission of the program director. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Annually)
BALT 6890 Supply Chain and Logistics Analytics Practicum I. This course provides a supervised, experiential learning opportunity in which students apply analytical methods to supply chain, logistics, and operations problems in professional or simulated settings. Students will analyze and evaluate business processes using data-driven approaches, including forecasting, performance analysis, and decision support. Students may complete the practicum through (1) employment-based experiential learning (Curricular Practical Training, CPT) or (2) a faculty-supervised applied project when employment is not secured. In both cases, students are required to meet defined learning objectives and complete structured academic deliverables. 3 semester credit hour/s. Department Consent Required.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
BALT 6891 Supply Chain and Logistics Analytics Practicum II. This course builds on Practicum I by requiring more advanced and independent application of analytical methods to complex supply chain, logistics, and operations problems. Students will design, implement, and evaluate data-driven solutions involving forecasting, optimization, and performance improvement in professional or simulated environments.
Students may complete the practicum through (1) employment-based experiential learning (Curricular Practical Training, CPT) or (2) a faculty-supervised applied project when employment is not secured. In both cases, students are required to demonstrate increasing independence, analytical rigor, and integration of technical and managerial skills. Prerequisite: BALT 6890. 3 semester credit hour/s. Department Consent Required.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
BALT 6901 Independent Study in Business Analytics. This course allows an opportunity for a student to concentrate on a specific topic related to an existing course or to explore a timely topic not covered in an existing course. A proposal is required, outlining the nature of the problem and scope of the investigation. A research paper or project is required, as appropriate to the problem under investigation. Cross-listed as MSBA 6600. 1-3 semester credit hour/s. Course Repeatable. Maximum number of units allowed: 3. Department Consent Required.
Campus: LISLE (Typically Offered: Annually)
BALT 6902 Internship in Business Analytics. An internship offers practical work experience within which the student has the opportunity to apply and test theoretical learning while developing executive skills. The internship experience may be an apprenticeship in which a less experienced student learns about the organization, the business unit, and a variety of analytics projects in which the supervisor is involved, or a project in which the student has major responsibility for a specific assignment and exposure to other areas of responsibility or interest. The Business Analytics internship may be repeated in different settings. Cross-listed as MSBA 6691. 1-3 semester credit hour/s. Course Repeatable. Maximum number of units allowed: 3. Department Consent Required.
Campus: LISLE (Typically Offered: Annually)
BALT 6903 Special Topics in Business Analytics. Timely business analytics topics are presented in the form of 1, 2, or 3-semester credit hour courses. Keeping pace with advances in analytics requires constant learning. These courses provide an opportunity to examine and assess issues in analytics. There are no designated pre-requisites, but graduate students are encouraged to have completed at least 12 semester credit hours. Topics are announced in advance. Cross-listed as MSBA 6691. 1-3 semester credit hour/s. Course Repeatable. Maximum number of units allowed: 3. Department Consent Required.
Campus: LISLE (Typically Offered: Annually)
MNGT 5101 Organizational Behavior. Covers the basic theory and application of administration and management. Emphasizes organizational behavior, including problems of motivation, leadership, organizational design and organization culture. Credit cannot be earned in both MNGT 5101 and MNGT 6101. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6101 Organizational Behavior: Theory and Contemporary Practice. Covers the basic theory and application of administration and management. Emphasizes organizational behavior, including problems of motivation, leadership, organizational design and organization culture. Credit cannot be earned in both MNGT 5101 and MNGT 6101. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6201 Organization Development. Considers the theory and practice of organizational change and organization development. Discusses analysis, planning, implementation, and evaluation of change programs. Covers the learning process, OD interventions, employee participation, monitoring success, reinforcement, and ethical issues. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6202 Groups and Team Building. Develops a knowledge of team building, its theoretical basis, and its strengths and weaknesses as an organization development (OD) intervention. Includes the application of team building in organizational performance. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6203 Process Consultation. Covers the concepts, models, and philosophy of process consultation and its role in organization development. Emphasizes the application of this key activity in consulting to organizations, groups, and individuals. Presented in a context useful to consultants and managers alike. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6204 Research for Managerial Decision Making. Covers alternative methods of research design for organization studies. Emphasizes academic and practitioner research issues, and skill building in the logic and practice of organizational research. Includes qualitative and quantitative research design, data collection, analysis, and report writing. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MNGT 6205 Global Change. Examines and analyzes organization development (OD) values and their relationship with national and cultural values globally. Consists of an overview and case studies involving application and adaptation of management and OD practices to local situations differing by organization and national culture. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MNGT 6206 The Global Environment. Selected readings in international business will be covered. Topics include culture, geography, politics, foreign direct investment, supply chain management, monetary systems, foreign exchange markets, and political risk management. Current topics in international business will be covered. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6301 Human Resources and Talent Management. Introduction to strategic human resource management. Covers the relationship of business and HR planning and the changing character of the workforce. Provides systemic overview of recruiting, training, compensation, and diversity, inclusion, legal issues, and employee relations. Prerequisite: MNGT 5101 or waived, or MNGT 6101. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6340 Logistics and Transportation Analytics. This course examines the changing and increasingly important role of logistics in the global business arena. Students will analyze and evaluate the areas of inventory planning and management, supply chain integration, transportation and distribution, and warehousing; logistics information systems architectures and implementation strategies; and logistics organization design alternatives. Emphasis is placed on data-driven and analytical approaches to logistics and transportation decision-making, including performance evaluation, forecasting, and optimization techniques. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6401 Leadership and Ethics in a Global Environment. Reviews paradigms of leadership in a global environment. Introduces and applies principles for ethical decision-making in business situations. Assesses students' leadership capacities and responsibilities in challenging situations. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6501 Operations Management. This course focuses on the strategic role of operations, developing an appreciation for operations activities, and how to improve them. Issues include continuous quality improvement, the critical importance of the customer and consideration of selected quantitative techniques. Prerequisite: BALT 5101. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6601 Project Management. This course emphasizes project management (PM) in a more focused, intentional way while introducing project management fundamentals and principles from the project management body of knowledge (PMBOK) as a backdrop. This focus and methodology prepares students for MNGT6602, as well as the Project Management Institute's (PMI) Project Management Professional (PMP) certification exam. Students will be introduced to a review of PMI’s framework, while covering the different types of project lifecycles and how they influence project delivery. Advanced topics include Agile PM, an introduction to cost and scheduling via a PM simulation, project communications management, and Artificial Intelligence (AI) in project management including PERT (Program Evaluation and Review Technique) and CPM (Critical Path Method) and Earned Value Management. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6602 Project Cost and Scheduling. This course highlights the importance of project managers understanding and applying project management tools and techniques to develop and manage project cost, schedule, and financial plans. Topics include the software application, MS Project, project cost, and benefit estimation; project financial analysis; budgeting; resource allocation; project metrics; and project cost and schedule control using earned value management systems. Attention will also be given to risk and contract and procurement management as students select and complete a course project that integrates project management components. Prerequisite: MNGT 6601. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6603 PMP Preparation. This course examines current topics in project management, and provides a comprehensive review of the Project Management Body of Knowledge (PMBOK) guide. Topics include global project management, leadership, virtual teams and project information systems. In addition, PMI’s Project Management framework, which includes the 10 knowledge areas, 5 process groups and 49 processes are covered in preparation for the Certified Associate Project Management (CAPM) or Project Management Professional (PMP) ® certification exam, administered by the Project Management Institute. Prerequisite: MNGT 6601, MNGT 6602. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6632 Supply Chain Management and Analytics. This course provides an overview of the strategic nature of supply chain management, including basic supply chain definitions, concepts and principles and real-world applications of supply chain techniques to transportation, inventory, supplier integration, electronic data interface, environmental resource planning, material resource planning, warehousing, and electronic commerce. The course incorporates data-driven and analytical approaches, including forecasting, optimization, and performance analysis, to support supply chain decision-making. The course will focus on the value-added impact of supply chain management on marketing, quality and manufacturing and will provide students with an appreciation for the time, money and human resources required for a supply chain management transformation. Students will also apply analytical tools to evaluate and improve supply chain performance in practical business settings. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6701 Business Intelligence. This course explores how data and information systems can be utilized to drive effective operations, improved decision-making and create strategic advantages in organizations. Reviews information lifecycle components of data collection, analysis, and interpretation as well as the development of measurement systems for strategic goals. Specific focus is placed on change management techniques for successful technology adoption. Includes an introduction to common business intelligence tools as well as a hands-on experience in report building. Cross-listed as MIS 6677. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6703 Communicating for Organizational Change. Effective communication is essential for navigating and leading organizational change. This course explores the role of communication in change processes, examining common organizational approaches and responses to change messaging. Using a human-centered perspective, students will learn to develop, implement, and assess change communication strategies across various contexts. Through case studies, applied projects, and analytical frameworks, students will gain the skills needed to craft effective messaging that supports successful organizational transformation. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Fall Term)
MNGT 6801 Global Strategic Management. This course requires students to use and integrate the disciplines and techniques learned in previous required courses. Strategy formulation and implementation concepts are discussed using theory and cases. Prerequisite: ACCT 6101, ECON 6101, FINA 6101, MKTG 6101, MNGT 6301, and MNGT 6501. 3 semester credit hour/s.
Campus: LISLE (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MESA (Typically Offered: Periodically)
MNGT 6901 Independent Study in Management. This course allows an opportunity for a student to concentrate on a specific topic related to an existing course or to explore a timely topic not covered in an existing course. A proposal is required, outlining the nature of the problem and scope of the investigation. A research paper or project is required, as appropriate to the problem under investigation. 1-3 semester credit hour/s. Course Repeatable. Maximum number of units allowed: 9.
Campus: LISLE (Typically Offered: Annually)
MNGT 6902 Internship in Management. An internship offers practical work experience within which the student has the opportunity to apply and test theoretical learning while developing executive skills. The internship experience may be an apprenticeship in which a less experienced student learns about the organization, the business unit, and a variety of projects in which the supervisor is involved, or a project in which the student has major responsibility for a specific assignment and exposure to other areas of responsibility or interest. The internship may be repeated in different settings. 1-3 semester credit hour/s. Course Repeatable. Maximum number of units allowed: 3.
Campus: LISLE (Typically Offered: Annually)
MNGT 6903 Special Topics in Management. Timely topics are presented in the form of 1, 2, or 3-semester credit hour courses. Keeping pace with advances in a discipline requires constant learning. These courses provide an opportunity to examine and assess issues. There are no designated prerequisites, but graduate students are encouraged to have completed at least 12 semester credit hours. Topics are announced in advance. 1-3 semester credit hour/s. Course Repeatable. Maximum number of units allowed: 3. Department Consent Required.
Campus: LISLE (Typically Offered: Annually)
MESA
MESA
Students in the M.S. in Intelligent Supply Chain and Logistics Analytics program will achieve the following student learning outcomes (SLO):
Student Learning Outcome 1: Demonstrate leadership and ethical decision-making in supply chain and logistics contexts.
- University SLO: 7. Civic Engagement and Social Responsibility; 9. Personal Development.
Student Learning Outcome 2: Demonstrate quantitative and qualitative skills in analyzing supply chain, logistics, and operational business problems.
- University SLO: 1. Disciplinary Competence and Skills; 5. Analytical Skills.
Student Learning Outcome 3: Integrate information technologies with analytical methods to extract value from supply chain and logistics data.
- University SLO: 1. Disciplinary Competence and Skills; 2. Critical and Creative Thinking Skills.
Student Learning Outcome 4: Communicate results of analysis in supply chain and logistics contexts in written, oral, and visual ways to a variety of audiences: technical and non-technical.
- University SLO: 4. Information Fluency.